AI Training Expert – Science & Engineering

This is a fully remote position, open to applicants in Texas.

📋 Description

• Assess and analyze AI-generated responses to prompts related to science and engineering, including calculations, experimental designs, and technical explanations.

• Create realistic and challenging technical problems grounded in professional experience in the fields of science or engineering.

• Compose clear, expert-level solutions and explanations that can be utilized as model training examples.

• Evaluate model outputs based on detailed rubrics, identifying errors, flawed reasoning, ambiguity, or unsupported conclusions.

• Offer corrective guidance that enhances the accuracy, rigor, and reliability of AI-generated responses.

• Execute tasks against AI models and iterate based on feedback from expert reviewers.

• Employ scientific reasoning, statistical reasoning, experimental reasoning, and data judgment in realistic technical scenarios.

• Analyze real-world measurement, test, and process data, including instrument data, test and measurement files, CAD models, simulation outputs, and lab records.

• Adhere to detailed written instructions precisely, including document and upload format specifications.

• Maintain consistent quality and throughput throughout project-based sprint engagements while working autonomously.

• Articulate technical conclusions in comprehensive, clear written English and engage constructively in feedback and revision cycles.

⛳️ Requirements

• Approximately 2+ years of applied science or engineering experience in an industrial or advanced research setting.

• Background in a science or engineering discipline such as mechanical, electrical, civil, materials, energy, chemical, environmental, physics, or a related field.

• An in-progress Bachelor's degree or higher.

• Undergraduate study does not contribute to the experience minimum.

• Practical individual-contributor experience in technical work such as design, testing, processes, or analysis, rather than solely in a managerial role.

• Hands-on experience with real-world technical data, including instrument data, test and measurement data, CAD models, simulation outputs, or lab records.

• Proficiency in statistical and experimental reasoning, including experiment design, measurement error, and common statistical pitfalls.

• Strong written communication skills, with the ability to convey complex concepts clearly and succinctly.

• Attentive reading of written instructions and a readiness to participate in feedback and revision cycles.

• General familiarity with AI/LLM tools at the user level.

• Basic tech literacy, including knowledge of cloud file tools, browser profile management, desktop application installation, and everyday file handling.

• Capability to work independently in a remote, self-directed environment.

• Availability for project-based work; no minimum weekly commitment is required.

• Assessment submissions must reflect the candidate's own expertise; AI or LLM assistance is prohibited and will result in disqualification.

• Preferred: advanced degree.

• Preferred: professional licensure, such as PE.

🏝️ Benefits

• Fully remote, self-directed project-based work.

• Flexible participation with no minimum weekly commitment.

• Approximately 10 hours per week recommended as an initial starting point.

• Payment through PayPal on a regular basis.

• Opportunities to contribute to AI training across generalist and specialized science and engineering projects.

• Work that utilizes professional expertise to enhance the accuracy and reliability of AI systems.

• No fees or payments are required from candidates.